Optimal Power Sharing in Microgrids Using the Artificial Bee Colony Algorithm

Kalim Ullah, Quanyuan Jiang, Guangchao Geng, Sahar Rahim and Rehan Ali Khan
Additional contact information
Kalim Ullah: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Quanyuan Jiang: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Guangchao Geng: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Sahar Rahim: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Rehan Ali Khan: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Energies, 2022, vol. 15, issue 3, 1-22

Abstract: In smart grids, a hybrid renewable energy system that combines multiple renewable energy sources (RESs) with storage and backup systems can provide the most cost-effective and stable energy supply. However, one of the most pressing issues addressed by recent research is how best to design the components of hybrid renewable energy systems to meet all load requirements at the lowest possible cost and with the best level of reliability. Due to the difficulty of optimizing hybrid renewable energy systems, it is critical to find an efficient optimization method that provides a reliable solution. Therefore, in this study, power transmission between microgrids is optimized to minimize the cost for the overall system and for each microgrid. For this purpose, artificial bee colony (ABC) is used as an optimization algorithm that aims to minimize the cost and power transmission from outside the microgrid. The ABC algorithm outperforms other population-based algorithms, with the added advantage of requiring fewer control parameters. The ABC algorithm also features good resilience, fast convergence, and great versatility. In this study, several experiments were conducted to show the productivity of the proposed ABC-based approach. The simulation results show that the proposed method is an effective optimization approach because it can achieve the global optimum in a very simple and computationally efficient way.

Keywords: microgrid; ABC; power-sharing; cost optimization; renewable energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/3/1067/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/3/1067/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:3:p:1067-:d:739609

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().